MultiplEYE: Creating a multilingual eye-tracking-while-reading corpus
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| Název: | MultiplEYE: Creating a multilingual eye-tracking-while-reading corpus |
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| Autoři: | Deborah Noemie Jakobi, Maja Stegenwallner-Schütz, Nora Hollenstein, Cui Ding, Ramune Kaspere, Ana Matić Škorić, Eva Pavlinusic Vilus, Stefan Frank, Marie-Luise Müller, Kristine M Jensen de López, Nik Kharlamov, Hanne B. Søndergaard Knudsen, Yevgeni Berzak, Ella Lion, Irina A. Sekerina, Cengiz Acarturk, Mohd Faizan Ansari, Katarzyna Harezlak, Pawel Kasprowski, Ana Bautista, Lisa Beinborn, Anna Bondar, Antonia Boznou, Leah Bradshaw, Jana Mara Hofmann, Thyra Krosness, Not Battesta Soliva, Anila Çepani, Kristina Cergol, Ana Došen, Marijan Palmovic, Adelina Çerpja, Dalí Chirino, Jan Chromý, Vera Demberg, Iza Škrjanec, Nazik Dinçtopal Deniz, Dr. Inmaculada Fajardo, Mariola Giménez-Salvador, Xavier Mínguez-López, Maroš Filip, Zigmunds Freibergs, Jéssica Gomes, Andreia Janeiro, Paula Luegi, João Veríssimo, Sasho Gramatikov, Jana Hasenäcker, Alba Haveriku, Nelda Kote, Muhammad M. Kamal, Hanna Kędzierska, Dorota Klimek-Jankowska, Sara Kosutar, Daniel G. Krakowczyk, Izabela Krejtz, Marta Łockiewicz, Kaidi Lõo, Jurgita Motiejūnienė, Jamal A. Nasir, Johanne Sofie Krog Nedergård, Ayşegül Özkan, Mikuláš Preininger, Loredana Pungă, David Robert Reich, Chiara Tschirner, Špela Rot, Andreas Säuberli, Jordi Solé-Casals, Ekaterina Strati, Igor Svoboda, Evis Trandafili, Spyridoula Varlokosta, Mila Vulchanova, Lena A. Jäger |
| Přispěvatelé: | Spencer, Stephen N. |
| Zdroj: | Jakobi, D N, Stegenwallner-Schütz, M, Hollenstein, N, Ding, C, Kaspere, R, Matić Škorić, A, Pavlinusic Vilus, E, Frank, S, Müller, M L, Jensen de López, K M, Kharlamov, N, Knudsen, H B S, Berzak, Y, Lion, E, Sekerina, I, Acartürk, C, Ansari, M F, Harężlak, K, Kasprowski, P, Bautista, A, Beinborn, L, Bondar, A, Boznou, A, Bradshaw, L, Hofmann, J M, Krosness, T, Soliva, N B, Çepani, A, Cergol, K, Došen, A, Palmovic, M, Çerpja, A, Chirino, D, Chromý, J, Demberg, V, Škrjanec, I, Dinçtopal Deniz, N, Fajardo, I, Giménez-Salvador, M, Mínguez-López, X, Filip, M, Freibergs, Z, Gomes, J, Janeiro, A, Luegi, P, Veríssimo, J, Gramatikov, S, Hasenäcker, J, Haveriku, A, Kote, N, Kamal, M M, Kędzierska, H, Klimek-Jankowska, D, Kosutar, S, Krakowczyk, D, Krejtz, I, Łockiewicz, M, Lõo, K, Motiejūnienė, J, Nasir, J A, Nedergård, J S, Özkan, A, Preininger, M, Pungă, L, Reich, D, Tschirner, C, Rot, Š, Säuberli, A, Solé-Casals, J, Strati, E, Svoboda, I, Trandafili, E, Varlokosta, S, Vulchanova, M & Jäger, L A 2025, MultiplEYE : Creating a multilingual eye-tracking-while-reading corpus. in S N Spencer (ed.), ETRA '25: Proceedings of the 2025 ACM Symposium on Eye Tracking Research and Applications : May 26-29, 2025, Tokyo, Japan., 111, Association for Computing Machinery (ACM), Eye Tracking Research and Applications Symposium (ETRA), 17th ACM Symposium on Eye Tracking Research & Applications (ETRA 2025), Tokyo, Japan, 26/05/2025. https://doi.org/10.1145/3715669.3726843 |
| Informace o vydavateli: | ACM, 2025. |
| Rok vydání: | 2025 |
| Témata: | eye-tracking, name=SDG 4 - Quality Education, Psycholinguistics, Reading, Open Data, reading, open science, Eye Movement, Eye Tracking, Natural Language Processing (NLP), Eye-tracking, multilingual, psycholinguistics |
| Popis: | Eye-tracking-while-reading data provide valuable insights across multiple disciplines, including psychology, linguistics, natural language processing, education, and human-computer interaction. Despite its potential, the availability of large, high-quality, multilingual datasets remains limited, hindering both foundational reading research and advancements in applications. The MultiplEYE project addresses this gap by establishing a large-scale, international eye-tracking data collection initiative. It aims to create a multilingual dataset of eye movements recorded during natural reading, balancing linguistic diversity, while ensuring methodological consistency for reliable cross-linguistic comparisons. The dataset spans numerous languages and follows strict procedural, documentation, and data pre-processing standards to enhance eye-tracking data transparency and reproducibility. A novel data-sharing framework, integrated with data quality reports, allows for selective data filtering based on research needs. Researchers and labs worldwide are invited to join the initiative. By establishing and promoting standardized practices and open data sharing, MultiplEYE facilitates interdisciplinary research and advances reading research and gaze-augmented applications. |
| Druh dokumentu: | Article Contribution for newspaper or weekly magazine Conference object |
| Popis souboru: | application/pdf |
| DOI: | 10.1145/3715669.3726843 |
| Přístupová URL adresa: | http://www.scopus.com/inward/record.url?scp=105008492663&partnerID=8YFLogxK https://vbn.aau.dk/ws/files/785324627/3715669.3726843.pdf https://vbn.aau.dk/da/publications/2a42272c-fa78-4520-835a-b11a3a8dc9de https://doi.org/10.1145/3715669.3726843 https://dl.acm.org/doi/pdf/10.1145/3715669.3726843 https://doi.org/10.1145/3715669.3726843 https://vb.ktu.edu/KTU:ELABAPDB235215853&prefLang=en_US https://doi.org/10.1145/3715669.3726843 |
| Rights: | CC BY |
| Přístupové číslo: | edsair.doi.dedup.....50fb9b7d930abc9e103766acc6c42ba9 |
| Databáze: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstrakt: | Eye-tracking-while-reading data provide valuable insights across multiple disciplines, including psychology, linguistics, natural language processing, education, and human-computer interaction. Despite its potential, the availability of large, high-quality, multilingual datasets remains limited, hindering both foundational reading research and advancements in applications. The MultiplEYE project addresses this gap by establishing a large-scale, international eye-tracking data collection initiative. It aims to create a multilingual dataset of eye movements recorded during natural reading, balancing linguistic diversity, while ensuring methodological consistency for reliable cross-linguistic comparisons. The dataset spans numerous languages and follows strict procedural, documentation, and data pre-processing standards to enhance eye-tracking data transparency and reproducibility. A novel data-sharing framework, integrated with data quality reports, allows for selective data filtering based on research needs. Researchers and labs worldwide are invited to join the initiative. By establishing and promoting standardized practices and open data sharing, MultiplEYE facilitates interdisciplinary research and advances reading research and gaze-augmented applications. |
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| DOI: | 10.1145/3715669.3726843 |